Uploaded July 2022 | Updated September 2026, 3 hours ago

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In this video tutorial we walk through a time series forecasting example in python using a machine learning model XGBoost to predict energy consumption with python. We walk through this project in a kaggle notebook (linke below) that you can copy and explore while watching.

Notebook used in this video: kaggle.com/code/robikscube/time-series-forecasting-with-machine-learning-yt

Timeline:
00:00 Intro
03:15 Data prep
08:24 Feature creation
12:05 Model
15:35 Feature Importance
17:33 Forecast

Follow me on twitch for live coding streams: twitch.tv/medallionstallion_

My other videos:

Speed Up Your Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Speed up Pandas Code: youtube.com/watch?v=SAFmrTnEHLg
Intro to Pandas video: youtube.com/watch?v=_Eb0utIRdkw
Exploratory Data Analysis Video: youtube.com/watch?v=xi0vhXFPegw

Working with Audio data in Python: youtube.com/watch?v=ZqpSb5p1xQo
Efficient Pandas Dataframes: youtube.com/watch?v=u4_c2LDi4b8

* Youtube: youtube.com/@robmulla?sub_confirmation=1
* Discord: discord.gg/HZszek7DQc
* Twitch: twitch.tv/medallionstallion_
* Twitter: twitter.com/Rob_Mulla
* Kaggle: kaggle.com/robikscube

#xgboost #python #machinelearning